Identifying molecular functional groups of organic compounds by deep learning of NMR data-Reference-Cited by-同舟云学术

Identifying molecular functional groups of organic compounds by deep learning of NMR data

Published:2022-06-12 Issue:11 Volume:60 Page:1061-1069
ISSN:0749-1581
Container-title:Magnetic Resonance in Chemistry
language:en
Short-container-title:Magnetic Reson in Chemistry

Author:

Li Chongcan¹,Cong Yong²,Deng Weihua¹^ORCID

Affiliation:

1. School of Mathematics and Statistics, Gansu Key Laboratory of Applied Mathematics and Complex Systems Lanzhou University Lanzhou China

2. College of Chemistry and Chemical Engineering, State Key Laboratory of Applied Organic Chemistry, Key Laboratory of Nonferrous Metals Chemistry and Resources Utilization Lanzhou University Lanzhou China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Materials Science,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrc.5292

Reference37 articles.

1. NMR of natural products at the ‘nanomole-scale’

2. Accelerated NMR Spectroscopy by Using Compressed Sensing

3. Applications of Non-Uniform Sampling and Processing

4. Determination of Relative Configuration in Organic Compounds by NMR Spectroscopy and Computational Methods

5. Addressing the Stereochemistry of Complex Organic Molecules by Density Functional Theory-NMR: Vannusal B in Retrospective

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